| Titre : | Descriptive and inferential statistics for supervising and monitoring the operation of PV plants |
| Auteurs : | Vergura, Silvano, Auteur ; Acciani, Giuseppe, Auteur ; Amoruso, Vitantonio, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | IEEE transactions on industrial electronics (Vol. 56 N° 11, Novembre 2009) |
| Article en page(s) : | pp. 4456 - 4464 |
| Note générale : | Génie électrique |
| Langues : | Anglais |
| Index. décimale : | 621.38 (Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X) |
| Tags : | Analysis of variance (ANOVA) Kruskal-wallis test Kurtosis Photovoltaic (PV) system monitoring Skewness |
| Résumé : | This paper deals with the problem of supervising and monitoring a photovoltaic (PV) plant. First, an offline descriptive and inferential statistical procedure for evaluating the goodness of system performance is presented. Then, an online inferential algorithm for real-time monitoring and fault detection is introduced. The two methodologies utilize the energy output of inverters as input data and are valid for both Gaussian and non-normal distribution of data. The procedures have been tested on a real PV installation, and results are reported for the case of a grid-connected PV plant in Italy for which one PV module over 132 resulted in being badly connected. |
| DEWEY : | 621.38 |
| ISSN : | 0278-0046 |
| En ligne : | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4555650 |
